Price discovery and spillover dynamics in the Chinese stock index futures market: a natural experiment on trading volume restriction

Feng He, Baiao Liu-Chen, Xiangtong Meng, Xiong Xiong and Wei Zhang

Quantitative Finance, 2020, vol. 20, issue 12, 2067-2083

Abstract: This paper considers CSI 300 Index futures and the underlying index from April 2010 to December 2018 based on high frequency data to test the price discovery function and spillover dynamics of the futures market given the change in futures market regulation in September 2015. The new regulation restricted the futures market intraday trading volume. This can be considered a natural experiment, offering us the opportunity to explore the factors that affect the price discovery function of the Chinese futures market. Information shares, the price lead-lag relationship, intraday returns and volatility spillovers are tested to reflect the price discovery function at both the long- and short-term intraday levels. We further compare the two subsamples before and after the regulation using static and dynamic approaches. The results suggest that shortly after the new regulation, the futures market was more sensitive to new information which dominated the price discovery process. However, the price discovery function of a futures market became much weaker after the regulation in the long run, due to a lack of liquidity. The regulation increased only the short-run price leading effect of the futures market and stabilised the market by limiting intraday arbitrage. We find that margin trading in the stock market significantly affects the price discovery ability of the futures market. Specifically, our results indicate that the Chinese stock index futures market was not the driving force of the market crash in 2015.

Date: 2020
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DOI: 10.1080/14697688.2020.1814037

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